Tim Veenboer

PhD student

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Jonas Teuwen

Tim Veenboer

My university background lies in History and Artificial Intelligence. I initially finished a bachelor's degree in History, but decided to pursue a bachelor's degree in Artificial Intelligence afterwards due to a natural curiosity for computers that I developed from a young age. Thereafter, I completed a master's degree in Artificial Intelligence where I completed my thesis research project at the Netherlands Cancer Institute.

This project persuaded me on continuing in the field of medical AI, specifically Foundation Models for medical AI. I'm currently employed as a PhD candidate, working on these aforementioned topics. Specifically, I'm applying Self-Supervised Learning (SSL) techniques on large sets of Computed Tomography (CT) data. The goal is to create holistic base models with robust expertise in oncological imaging.

Work experience

  • October 2021 - September 2024: Cloud Developer ChipSoft,  working on digital data exchange             between hospitals.
  • September 2022 - July 2024: Msc, University of Amsterdam, Artificial Intelligence. Thesis on the effectiveness of training Foundation Models for Computed Tomography.
  • July 2023: Paper: Using Collostructional Analysis to evaluate BERT’s representation of linguistic constructions, Tim Veenboer, Jelke Bloem, Findings of the Association for Computation                           Linguistics (ACL 2023).
  • September 2019 - February 2022: BSc, University of Amsterdam, Artificial Intelligence, thesis on discovering linguistic constructions in the representations of AI language models.
  • September 2015 - June 2019: BA, University of Amsterdam, History, thesis on the influence of the CIA in the Democratic Republic of Congo during 1960 - 1965.

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